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Senior Data Engineer
Designs and builds scalable data pipelines and architectures using Azure Data Lake, Synapse, and Databricks to power analytics and real-time insights for enterprise clients.
Senior GCP Data Engineer: BigQuery, Dataflow & Pipelines
Designs and maintains large-scale data pipelines on Google Cloud Platform, focusing on BigQuery, Dataflow, and security best practices.
Data Engineer – Azure & Databricks
Build and optimize Azure-based data pipelines and Databricks environments to process large datasets, enabling analytics and insights for the business.
Senior Data Engineer - Finance Data Platform
Build and maintain scalable data pipelines and models for financial planning, reporting, and forecasting using Databricks, SQL, and EPM tools like TM1.
Azure Data Engineer - Databricks & Data Pipelines
Designs and optimizes data pipelines using Azure and Databricks, focusing on big data solutions with Python and SQL.
Databricks Platform Engineer: Data Pipelines & APIs
Design and maintain Databricks-based data pipelines and APIs using Python, SQL, and Lakeflow to deliver scalable enterprise solutions.
Data Engineer
Design and maintain scalable data pipelines in Azure for a government digital transformation, ensuring data integrity and supporting analytics and ML workloads.
Data Engineer
Designs and builds end-to-end data pipelines and cloud data lakes for a Big 4 bank, using Python, Spark and Azure to create reusable data assets and support analytics.
Data Engineer
Design and build data pipelines for an education-sector client using Azure, Databricks, and Kafka to migrate and integrate enterprise data systems.
Data Platform Technical Lead
Lead the modernization of a large organization’s data platform, migrating legacy systems to cloud-based analytics using Databricks, Spark, and Delta Lake while overseeing delivery teams and governance.
Lead Data Engineering Consultant
Lead a team to design and build scalable data platforms and warehouses using Snowflake, AWS/Azure, and Databricks, guiding clients from discovery to delivery.
Data Engineering Manager
Lead a new data engineering team to build and govern reusable data products, a semantic layer, and a robust Snowflake-based platform for a large Australian property group.
Data Engineer (Marketing)
Build and maintain marketing/advertising tech stacks (Google DV360, GA4, GTM, CDPs) to run, track, and optimise campaigns across paid channels and customer journeys.
Senior Data Engineer (Marketing)
Build and maintain integrations across marketing and customer platforms, ensuring accurate data flow, measurement, and activation for fintech comparison services.
Data Engineer
Design and build scalable cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable analytics and AI for enterprise clients.
Data Engineer
Build and maintain secure ETL pipelines that extract data from SQL/CSV, transform it, and deliver it via SFTP to enterprise clients using Python, Java, AWS, and SQL.
Data Engineer
Build and maintain enterprise-scale data pipelines and cloud solutions using SQL, Python, dbt, and PySpark to power analytics and AI outcomes.
Data Engineer
Design and build cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable scalable analytics and AI for enterprise clients.
Senior Data Engineer
Build and maintain scalable AWS-based data pipelines and lakehouse architecture, using Python and PySpark to ingest, transform, and serve scholarly publishing data for analytics and AI initiatives.
Analytics Engineer [Banco de Talentos]
Builds and optimizes data pipelines, models, and SQL queries in Azure and Microsoft Fabric to transform raw data into reliable, scalable analytics for business decisions.